Evidence map›Paper›PMID 21752986›Full record

ArticleCancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology2011

Mathematical modeling predicts the effect of folate deficiency and excess on cancer-related biomarkers.

Marian L Neuhouser, H Frederik Nijhout, Jesse F Gregory, Michael C Reed, S Jill James, Amy Liu, Barry Shane, Cornelia M Ulrich

Abstract read
In one paragraph

Article in Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
3.0field-weighted citation impact, top 9% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed, 27 citations in OpenAlex.

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  13. Modeling cellular compartmentation in one-carbon metabolism.Wiley interdisciplinary reviews. Systems biology and medicine
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 5 institutions in 2 countries.

Marian L NeuhouserCancer Prevention Program, Fred Hutchinson Cancer Research Center, 1100 Fairview Avenue North, M4-B402, Seattle, WA 98019, USA. mneuhous@fhcrc.org
H Frederik Nijhout
Jesse F Gregory
Michael C Reed
S Jill James
Amy Liu
Barry Shane
Cornelia M Ulrich
University of California, Berkeley · USHeidelberg University · DEDuke University · USNational Center for Tumor Diseases · DEUniversity of Florida · US

Funding

Modeling Folate, One-Carbon Metabolism &DNA MethylationR01CA105437 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI ULRICH, CORNELIA M · 2004 to 2007
$914k
NCI NIH HHS R01 CA105437
6 · The paper itself

Abstract

backgroundFolate is an essential B-vitamin that mediates one-carbon metabolism reactions, including nucleotide synthesis and others related to carcinogenesis. Both low- and high-folate status influences carcinogenesis.

methodsWe used a mathematical model of folate-mediated one-carbon metabolism to predict the effect of a range of intracellular epithelial folate concentrations (0.25-15.0 μmol/L) on methylation rate and purine and thymidylate synthesis. We also examined the interaction of these folate concentrations with polymorphisms in two enzymes [methylene tetrahydrofolate reductase (MTHFR) and thymidylate synthase (TS)] in relation to the biochemical products.

resultsTS enzyme reaction rate increased markedly in response to the modeled higher intracellular folate concentrations. Changes in methylation rate were modest, whereas purine synthesis was only minimally related to increases in folate concentrations with an apparent threshold effect at 5.0 to 6.0 μmol/L. The relationship between folate concentrations and thymidylate synthesis was modified by genetic variation in TS but less so by variation in MTHFR. These gene-folate interactions modestly influenced purine synthesis in a nonlinear manner but only affected methylation rate under conditions of very high MTHFR activity.

conclusionThymidylate synthesis is very sensitive to changes in epithelial intracellular folate and increased nearly fivefold under conditions of high intracellular folate. Individuals with genetic variations causing reduced TS activity may present even greater susceptibility to excessive folate. IMPACT: Our observation that thymidylate synthesis increases dramatically under conditions of very elevated intracellular folate provides biological support to observations that excessive folic acid intake increases risk of both precursor lesions (i.e., colorectal adenomas) and cancer.

Indexed as

Models, BiologicalBiomarkers, TumorFolic AcidFolic Acid DeficiencyHumansMethylenetetrahydrofolate Reductase (NADPH2)NeoplasmsPolymorphism, GeneticThymidylate SynthaseBiomarkers, TumorFolic AcidMethylenetetrahydrofolate Reductase (NADPH2)Thymidylate Synthase

Identifiers

PMID21752986
PMCPMC3169720
OpenAlexW2127427146

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.